On Jan 3, 2008, at 9:03 AM, Matthew Toseland wrote:
Useful class, but I'm really not convinced it's statistically sound.
You need
to normalize the stored value after every operation, otherwise as it
gets
larger, you will get bigger jumps when values are reported. In order
to do
this, you probably need to extend BDRA; put some hooks in.
Hmmm... yes, in review you are right, as averaging is not linear as
such:
assume: avg(a, b, c... x, y) = z
then: avg(a+1, b+1, c+1... x+1, y+1) != z+1
An implementation using normalized stored values is possible by adding
a single package-hook: setCurrentValue(double d);
Then, in the averager, on report() to call
avg.setCurrentValue(Location.normalize(avg.currentValue());
Implemented in r16855.
--
Robert Hailey
On Wednesday 26 December 2007 20:51, [EMAIL PROTECTED] wrote:
Author: robert
Date: 2007-12-26 20:51:38 +0000 (Wed, 26 Dec 2007)
New Revision: 16817
Added:
trunk/freenet/src/freenet/support/math/DecayingKeyspaceAverage.java
Modified:
trunk/freenet/src/freenet/node/Location.java
trunk/freenet/src/freenet/node/NodeStats.java
Log:
implement keyspace-aware averager
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